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K. Muralidharan

Researcher at PSNA College of Engineering and Technology

Publications -  6
Citations -  663

K. Muralidharan is an academic researcher from PSNA College of Engineering and Technology. The author has contributed to research in topics: Diesel fuel & Variable compression ratio. The author has an hindex of 3, co-authored 5 publications receiving 533 citations.

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Performance, emission and combustion characteristics of a variable compression ratio engine using methyl esters of waste cooking oil and diesel blends

TL;DR: In this paper, the suitability of waste cooking oil methyl ester as a biofuel has been established in a single cylinder four stroke variable compression ratio multi fuel engine when fueled with waste cooking oils methyl esters and its 20, 40, 60% and 80% blends with diesel (on a volume basis) are investigated and compared with standard diesel.
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Performance, emission and combustion characteristics of biodiesel fuelled variable compression ratio engine

TL;DR: In this paper, the performance, emission and combustion characteristics of a single cylinder; four stroke variable compression ratio multi fuel engine fuelled with waste cooking oil methyl ester and its blends with standard diesel were investigated.
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Augmenting the performance of conventional solar still through the nano-doped black paint (NDBP) coating on absorber

TL;DR: In this article, an experimental work was carried to improve the performance of a conventional solar still by coating its absorber with a nano-doped black paint (NDBP), and the results provided the evidence that the yield of the solar still was augmented by 8.78% and 7.83% for 15-mm and 25-mm water depths, respectively, with the coating of NDBP as compared to the plain black paint.
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Selection of optimum parameter for compression testing based on design of experiments using Taguchi method

TL;DR: In this paper, the authors considered one such problem to optimize the process parameter of compression testing based on design of experiments using well known, Taguchi method, and concluded with the optimization of effective process parameters of Al2024 with the concerned of varied temperature owing to increase in its mechanical properties.
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Parametric analysis and performance of laser cutting on strenx steel

TL;DR: In this paper, computer numerical control (CNC) laser cutting machine was used to cut the strenx steel plate and the cutting quality is confirmed through measurement of Surface Roughness (SR).